Graph Algorithms in Neo4j: PageRank
By Jocelyn Hoppa
January 22, 2019|Reading time: 4 minutes
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →
Explore: centrality algorithms • cypher • graph algorithms • Graph Analytics • graph search algorithms • Larry Page • machine learning • PageRank • Twitter analytics
This Week in Neo4j – Topic Extraction with Graphileon, Neo4j 3.5 FTS Deep Dive, Neo4j for Very Large Scale Systems
By Mark Needham
January 19, 2019|Reading time: 4 minutes
Welcome to the 3rd edition of This Week in Neo4j for 2019. We’ve got a variety of different things for you this week. Christophe Willemsen has written an excellent deep dive into the Full-Text Search feature released in Neo4j 3.5,… Read more →
Explore: full-text search • graph algorithms • graphileon • machine learning • Marvel Universe • owl • RDF • spring data neo4j • topic extraction • twin4j
This Week in Neo4j – Graph Layouts with Graph Algorithms and Machine Learning, Graphing the Floodlight Open Project data, Multi-Turn Conversational Voice Experiences with a Knowledge Graph
By Mark Needham
January 12, 2019|Reading time: 4 minutes
We’re almost half-way through January, so it must be time for another installment of This Week in Neo4j. It’s been a busy week as the community kicks back into action after the New Year’s hangover. Jennifer Reif is back with… Read more →
Explore: amazon alexa • dimensionality reduction • graph algorithms • graph layout • Halin • Knowledge Graph • machine learning • Marvel Universe • monitoring • twin4j
Social Power, Operational Ease: 5-Minute Interview with David Fox, Software Engineer at Adobe
By Jocelyn Hoppa
January 11, 2019|Reading time: 3 minutes
“We were able to go from 48 Cassandra instances to three Neo4j instances. Going into the project, we weren’t sure whether that was going to be possible,” said David Fox, Software Engineer at Adobe. Adobe runs Behance, a social network… Read more →
Explore: 5-minute interview • activity feed • Adobe • Behance • Cassandra • David Fox • Graph Databases • machine learning • Neo4j Community • social network
This Week in Neo4j – Anti-Money Laundering Investigation, Replicating The GitHub GraphQL API, Getting Started with machine learning on graphs
By Mark Needham
January 5, 2019|Reading time: 3 minutes
Happy New Year everybody, and welcome to our first version of TWIN4j of 2019. I’d only just got used to writing the year as 2018! This is traditionally a quiet week, but we’ve still got some good stuff for you… Read more →
Explore: anti-money laundering • DeepMind • github • GraphQL • machine learning • Neo4j Community • real-time recommendations • twin4j
The Top 10 Neo4j Videos of 2018
By Jocelyn Hoppa
December 28, 2018|Reading time: 3 minutes
Two things are certain in life: Taxes! And we’ve committed a lot to video this year. Ranking these 10 videos seemed wrong, as our video content features a wide range of subject matter. Who are we to say what’s best… Read more →
Explore: Bloom • cypher • enterprise AI • GRANDstack • Graph Databases • graph visualization • Hilary Mason • knowledge graphs • machine learning • neo4j
Fraud Detection Using Graph Technology
By Jocelyn Hoppa
November 16, 2018|Reading time: 4 minutes
Graph technology refers to the storage, management and querying of data graphical representation. Here, your indices become vertices and your relationships are converted into edges. Through analysis of the fine-grained relationships, by using graph analysis, you can find out oddities… Read more →
Explore: Connected Data • data analysis • data modeling • fraud detection • graph algorithms • graph database • graph technology • machine learning • money laundering • social media networks
Graph Algorithms in Neo4j: Graph Technology & AI Applications
By Jocelyn Hoppa
November 12, 2018|Reading time: 3 minutes
Graph technologies are the scaffolding for building intelligent applications, enabling more accurate predictions and faster decisions. In fact, graphs are underpinning a wide variety of artificial intelligence (AI) use cases. This blog series is designed to help you better leverage… Read more →
Explore: ai • artificial intelligence • graph algorithms • Graph Analytics • graph platform • graph technology • Graph Visualizations • Knowledge Graph • machine learning • PageRank
How to Know What You Know:
5-Minute Interview with Dr. Alessandro Negro, Chief Scientist at GraphAware
By Jocelyn Hoppa
November 2, 2018|Reading time: 4 minutes
“I want to know what I know. That describes what knowledge graphs do for companies,” said Dr. Alessandro Negro, Chief Scientist at GraphAware. In this week’s five-minute interview, we discuss how GraphAware uses natural language processing to help companies gain… Read more →
Explore: 5-minute interview • data model • fraud detection • graph algorithms • graph technology • Knowledge Graph • machine learning • natural language processing • Recommendation Engine • textual data
We Just Closed the Largest Single Investment in the Graph Space. Now What?
By Bryce Merkl Sasaki
November 1, 2018|Reading time: 5 minutes
I’m thrilled to announce that Neo4j has just closed $80 million in a series E funding round. We are happy to welcome One Peak Partners and Morgan Stanley Expansion Capital to the graph of Neo4j funders. I’d also like to… Read more →
Explore: ai • artificial intelligence • Connected Data • fraud detection • graph database • graph technology • machine learning • ML • neo4j • Recommendation Engine
Graph Algorithms in Neo4j: The Rise of Graph Analytics
By Jocelyn Hoppa
October 29, 2018|Reading time: 4 minutes
According to Gartner’s 2018 Magic Quadrant for Data Management Solutions, the biggest reason for using the Neo4j graph database “is to drive innovation.” This blog series is designed to help organizations better leverage graph analytics to effectively innovate and develop… Read more →
Explore: ai • Connected Data • eBay • google • graph algorithms • Graph Analytics • graph database • Graph Theory • linkedin • machine learning • Uber
NLP at Scale for Maintenance and Supply Chain Management
By Jocelyn Hoppa
October 24, 2018|Reading time: 14 minutes
Editor’s Note: This presentation was given by Ryan Chandler at GraphConnect New York in October 2017. Presentation Summary Caterpillar is a 90-year-old company that manufactures large industrial machinery, including some autonomous vehicles. For the last decade, the company has been… Read more →
Explore: artificial intelligence • Caterpillar • cypher • graph database • graph query • graphconnect • knowledge representation • machine learning • natural language processing • supply chain management
5 Noteworthy Use Cases of Graph Technology and Graph Analytics
By Jocelyn Hoppa
October 23, 2018|Reading time: 4 minutes
When discussions about any technological concept begin to trend in online media and among business stakeholders, it is only natural to wonder whether it is all hype or whether the technology actually solves any real business problems. Gartner’s well-publicized hype… Read more →
Explore: fraud detection • Graph Analytics • graph database • graph technology • Graph Theory • identity access management • machine learning • regulatory compliance • Relational Databases • supply chain
Chip Design on Graphs: 5-Minute Interview with Chuck Calio, Offering Manager, IBM PowerAI
By Jocelyn Hoppa
October 19, 2018|Reading time: 3 minutes
We use Neo4j to design our next-generation Power chips, said Chuck Calio, Offering Manager IBM PowerAI at IBM. The future of graph technology is in AI, but it’s not the only use case. From designing hardware (naturally a graph) to… Read more →
Explore: 5-minute interview • ai • dynamic pricing • graph algorithms • graph database • graph technology • machine learning • Master Data Management • nosql • Recommendation Engine
Knowledge Graph Search with Elasticsearch and Neo4j
By Jocelyn Hoppa
October 9, 2018|Reading time: 17 minutes
Editor’s Note: This presentation was given by Luanne Misquitta and Alessandro Negro at GraphConnect New York in October 2017. Presentation Summary Knowledge graphs are key to delivering relevant search results to users, meeting the four criteria for relevance, which include… Read more →
Explore: Connected Data • ecommerce • elasticsearch • graphconnect • Knowledge Graph • machine learning • Master Data Management • natural language processing • Recommendation Engine
ICYMI: (Mostly) Everything Important that Happened at GraphConnect 2018
By Bryce Merkl Sasaki
September 25, 2018|Reading time: 4 minutes
Unless you live under a graph database rock, then you know that the biggest graph technology event of the year – GraphConnect 2018 – happened last week, and it was wondrous to behold. From September 20-22, Neo4j customers, partners, celebrities,… Read more →
Explore: artificial intelligence • Connected Data • graph database • graph platform • graph technology • graphconnect • Graphs4Good • Hilary Mason • machine learning • Neo4j 3.5
Meet the 2018 Graphie Award Winners
By Bryce Merkl Sasaki
September 21, 2018|Reading time: 4 minutes
Last night at GraphConnect 2018, we announced the 11 winners of the 2018 Neo4j Graphie Awards at the conference’s closing reception. The Graphie Awards celebrate the world’s most innovative graph technology applications, recognizing success in connected data across multiple categories… Read more →
Explore: artificial intelligence • Connected Data • digital transformation • Graph Analytics • graph platform • graph technology • graphconnect • machine learning • medical research • PageRank • risk and compliance
Bring Order to Chaos: A Graph-Based Journey from Textual Data to Wisdom
By Jocelyn Hoppa
September 19, 2018|Reading time: 10 minutes
Data is everywhere. News, blog posts, emails, videos and chats are just a few examples of the multiple streams of data we encounter on a daily basis. The majority of these streams contain textual data – written language – containing… Read more →
Explore: ai • Connected Data • cypher • enterprise search engine • graph database • GraphAware Hume • Knowledge Graph • machine learning • nlp • Recommendation Engine
GraphConnect 2018 Agenda: Everything You Need to Know
By Rachel Howard
September 14, 2018|Reading time: 1 minute
You already know there are many exciting reasons you should attend GraphConnect 2018 – and, of course, we’ve got you properly jazzed on this year’s roster of must-see presenters (including our two most recently announced keynote presenters). But the best… Read more →
Explore: artificial intelligence • biotech • data discovery • Data Visualization • digital transformation • graph technology • graphconnect • Healthcare • Knowledge Graph • machine learning
Hilary Mason [ML at Cloudera] & Stephen O’Grady [Principal at RedMonk] Will Keynote at GraphConnect 2018
By Bryce Merkl Sasaki
September 7, 2018|Reading time: 2 minutes
We’re pleased to announce the addition of two phenomenal keynote speakers to the already-awesome lineup of presenters at GraphConnect 2018 in New York City. (Psst: Register now if you haven’t already, as space is limited!). Morning Keynote Speaker: Hilary Mason,… Read more →
Explore: ai • Application Development • artificial intelligence • Cloudera • Graph Databases • graph technology • graphconnect • machine learning • ML • software development
The Graphie Awards: What They Are & How to Win One at GraphConnect 2018
By Bryce Merkl Sasaki
August 31, 2018|Reading time: 2 minutes
Editor’s Note: This is literally the last day before tickets to GraphConnect 2018 go up in price. If you were holding out (for some reason?), this is your last chance before you have to fork over another Benjamin. You just… Read more →
Explore: Connected Data • data journalism • graph database • graph technology • graphconnect • Graphie Awards • Graphies • machine learning • neo4j • Neo4j Community • Neo4j partners
11 Must-See Speakers at GraphConnect 2018 in New York City
By Bryce Merkl Sasaki
August 24, 2018|Reading time: 2 minutes
There are a lot of great reasons to attend GraphConnect 2018, but one of the best reasons is that every year we feature a fresh, new lineup of the world’s best graph experts sharing their experiences on how graph database… Read more →
Explore: ai • data governance • data management • Data Scientist • graphconnect • machine learning • Master Data Management • Personalization • predictive analytics • Recommendations
The eBay App for Google Assistant: Graph-Powered Conversational Commerce
By Jocelyn Hoppa
August 22, 2018|Reading time: 5 minutes
Editor’s Note: This presentation was given by Ajinkya Kale and Anuj Vatsa at GraphConnect New York in October 2017. Presentation Summary The eBay App for Google Assistant is a chatbot powered by knowledge graphs that supports conversational commerce. In creating… Read more →
Explore: ai • docker • eBay ShopBot • google cloud platform • graphconnect • knowledge graphs • Kubernetes • machine learning • natural language understanding • spark
Which GraphConnect Training Should You Take? [Quiz]
By Bryce Merkl Sasaki
August 17, 2018|Reading time: 2 minutes
It’s that time of year again. In less than five weeks, Emil will be getting on stage at GraphConnect 2018 in the heart to Times Square, NYC and announcing the new release of….wow, I think we’re getting a little ahead… Read more →
Explore: cypher • data science • Data Visualization • graph algorithms • graphconnect • machine learning • natural language understanding • Neo4j Bloom • neo4j training • python
The Top 10 Reasons to Attend GraphConnect 2018 in New York City
By Bryce Merkl Sasaki
August 10, 2018|Reading time: 5 minutes
Once again, GraphConnect makes its way back to the vibrant island of Manhattan this autumn! Whether you’re new to the world of graph database technology or you’ve been a part of the movement for some time, there’s something new for… Read more →
Explore: Connected Data • cypher • data science • Data Visualization • graph algorithms • graph database • graph technology • graphconnect • Knowledge Graph • machine learning
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